Product Manager, Subscriber Data & Analytics

Disney Entertainment

Seattle (WA)

On-site

USD 125,000 - 167,000

Full time

4 days ago
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Job summary

Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global team of engineers, product managers, designers, technologists, data scientists, and more building the backbone for Disney's media businesses.

As a Product Manager II, you will own a defined product area within the Subscriber Data ecosystem, partnering with engineering, data, analytics, and operations to turn business needs into clear requirements and measurable outcomes.

Qualifications

  • 3+ years of product management experience in data platforms or analytics-heavy roles.
  • Bachelor's degree in Engineering, Math, Science, Economics, or equivalent work experience.
  • Foundational understanding of Big Data ecosystems and SQL.
  • Ability to break down work into MVPs and make independent trade-off decisions.
  • Strong written and verbal communication with stakeholders.
  • Experience managing backlogs and delivering features on schedule.

Responsibilities

  • Own a defined product area and drive delivery from discovery through launch.
  • Partner with engineering, data, analytics, and operations to translate needs into requirements.
  • Use data to identify opportunities and measure impact.
  • Help define roadmap milestones and surface risks early.
  • Create PRDs, user stories, acceptance criteria, and launch docs.
  • Contribute to product health metrics and post-launch reviews.

Skills

Product management
Data-driven
Cross-functional collaboration
SQL basics

Education

Bachelor's degree

Tools

Tableau
Looker
Snowflake
Databricks
Airflow
Jira

Job description

Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global team of engineers, product managers, designers, technologists, data scientists, and more building the backbone for Disney's media businesses.

As a Product Manager II, you will own a defined product area within the Subscriber Data ecosystem, partnering with engineering, data, analytics, and operations to turn business needs into clear requirements and measurable outcomes.

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